Storia di successo

Agro industry

Agriculture; Land use; Farming


Connecting Copernicus Remote Sensing data with data of harvesters and planting machines: In order to meet all the challenges of the growing world population, more data-driven decisions in agriculture are needed. These data-driven decisions can only be effective if different parties together generate quick and personal advice for our farmers, including the necessary guarantees for data ownership and data protection. By joining forces with the agricultural machine builder AVR, VITO Remote Sensing can provide a data integration between the new AVR Connect platform and the information platform WatchITgrow.


The service aims at supporting agriculture activities to resist and adapt to climate change and at the same time ensuring the increase of productivity in a sustainable manner. The provision of improved indicators for agricultural monitoring based on in situ, meteo, soil and RS data, addresses the needs of agro industry and farmers. The tool supports agro consultants in their advice to farmers and demonstrate methodologies implementable at field level.


  • more accurate and useful crop predictions
  • farmers' better adaptation to climate change
  • better understanding of how EO-based services are best tailored towards user need
  • insights in the underlying processes that determine user uptake

Confronta Prodotti

0 prodotti aggiunti


Confronto dei servizi


Contenuto relativo

Agriculture, Land use, Farming
WatchITgrow is an online platform to support growers to monitor arable crops and vegetables in view of increasing yields, both qualitatively and quantitatively. WatchITgrow uses various types of data starting with satellite data combined with e.g. weather data, soil data, IoT data and field data provided by the grower. These data will be combined using new technologies such as big data analytics and machine learning to provide growers with more timely and personalized advice.
GEOGLAM service
Agriculture, Farming
GEOGLAM improves the current agricultural monitoring with operational processing and data analysis.
Land and Land Cover Analysis
Agriculture, Infrastructure, Land Ecosystems, Land use, Farming, Insurance & Finance, Local and regional planners
With AutoMap, the handling of satellite images has never been easier! We simplify the production of maps based on earth observation data and handle the application of machine learning algorithms for land surface classifications by providing a solid data processing pipeline in a fully managed cloud infrastructure. Bring your own samples or use our default solution, while we take care of the thousands of images that fit your request, all the clouds in your area of interest and every aspect of process optimization and secure data storage. Don't worry about machine learning concepts, intelligent training data collection, hyperparameter optimization or informative feature spaces - That's our job as well! Seeing the world from above is now as demanding as ordering a pizza!
Mutation Signalling on agriculture parcels in the Netherlands
Agriculture, crop acreage, Monitor crops, crop types extent, Land use, Assess land value, ownership, type, use, Measure land use statistics, Agricultural commodities, Agriculture and rural development policy, Farming, Real-estate management, Local and regional planners, City authorities, Planners, Regional governments, Town authorities, Agriculture and rural policy makers
NEO signals changes to agriculture parcels. Monitoring, based on satellite imagery in combination with artificial intelligence, aims to detect changes in the boundaries of the parcels. The service saves time and money because, based on the mutation signalling, parcels can be looked at more specifically to determine the new parcel boundaries. This supports the process of keeping the national LPIS (Land Parcel Identification System) registry up to date. The service that NEO provides is unique: it is the first time that mutation signalling based on earth observation is performed automatically on this scale. In this way the 500.000 parcels in the Netherlands are monitored. Open data from the national satellite data portal in the Netherlands is used.